{"slug": "scope-compiling-natural-language-policies-into-neurosymbolic-predicate-programs", "title": "SCOPE: Compiling Natural-Language Policies into Neurosymbolic Predicate Programs", "summary": "Researchers introduced SCOPE, a system that compiles natural-language policies into neurosymbolic predicate programs for enforcing compound, application-specific rules over LLM agent transcripts and tool-call trajectories. SCOPE targets a gap the authors identify: fine-tuned guardrail models are efficient but degrade on compound policies, while LLM-as-a-judge approaches are less reliable for multi-turn and tool-call evaluation. The work addresses policy enforcement for LLM agents as requirements shift from single-turn content moderation to compound rules spanning multi-turn transcripts.", "body_md": "Policy enforcement for LLM agents has shifted from single-turn content moderation to compound, application-specific policies evaluated over multi-turn transcripts and tool-call trajectories. Fine-tuned guardrail models are efficient but degrade on compound policies, and while LLM-as-a-judge approach", "url": "https://wpnews.pro/news/scope-compiling-natural-language-policies-into-neurosymbolic-predicate-programs", "canonical_source": "https://aiflash.com/news/137811/", "published_at": "2026-10-23 03:00:00+00:00", "updated_at": "2026-10-23 03:10:57.972304+00:00", "lang": "en", "topics": ["ai-safety", "ai-agents", "large-language-models", "ai-research"], "entities": ["SCOPE"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/scope-compiling-natural-language-policies-into-neurosymbolic-predicate-programs", "markdown": "https://wpnews.pro/news/scope-compiling-natural-language-policies-into-neurosymbolic-predicate-programs.md", "text": "https://wpnews.pro/news/scope-compiling-natural-language-policies-into-neurosymbolic-predicate-programs.txt", "jsonld": "https://wpnews.pro/news/scope-compiling-natural-language-policies-into-neurosymbolic-predicate-programs.jsonld"}}